Tag: Marianne J. Jørgensen
xAI-EWS — an explainable AI model predicting acute critical illness
Early clinical predictions of acute critical illness have a vital influence on patient outcomes. For clinical medicine to benefit from the higher predictive power of Artificial Intelligence, however, explainable and transparent systems are essential. Simon Meyer Lauritsen and his collaborators at Enversion, Aarhus University, and Regional Hospital Horsens in Denmark have developed xAI-EWS – an explainable AI early warning score […]
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